How Go-Explore cracked the toughest video-game puzzles and pushed AI past humans
Meet Go-Explore, a new way for AI to find its own path when rewards hide or trick it.
Instead of wandering, it first remembers places it has been, then goes back to a promising spot and tries new moves from there, this simple switch makes a huge difference.
It solved hard levels in old games like Montezuma's Revenge and Pitfall, even beating top human scores in some cases, while finding cleaner routes that humans missed.
The method uses simulators to try many things fast, it then learns to copy the best runs so the smart agent work in the real world too.
Because it makes strong example runs cheaply, Go-Explore also helps other learning methods get better quick.
This idea could change how robots learn, and open doors to problems we thought were unsolvable.
The future looks curious and bright, and Go-Explore might be the key to smarter, more patient exploration that feels almost superhuman.
Read article comprehensive review in Paperium.net:
Go-Explore: a New Approach for Hard-Exploration Problems
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